本文整理汇总了Java中com.rapidminer.example.Tools.createWeightAttribute方法的典型用法代码示例。如果您正苦于以下问题：Java Tools.createWeightAttribute方法的具体用法？Java Tools.createWeightAttribute怎么用？Java Tools.createWeightAttribute使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类com.rapidminer.example.Tools的用法示例。
在下文中一共展示了Tools.createWeightAttribute方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: prepareWeights
import com.rapidminer.example.Tools; //导入方法依赖的package包/类
/**
* Creates a weight attribute if not yet done. It either backs up the old weights for restoring
* them later, or it fills the newly created attribute with the initial value of 1.
*
* @param exampleSet
* the example set to be prepared
* @return the total weight
*/
protected double prepareWeights(ExampleSet exampleSet) {
Attribute weightAttr = exampleSet.getAttributes().getWeight();
double totalWeight = 0;
if (weightAttr == null) {
this.oldWeights = null;
weightAttr = Tools.createWeightAttribute(exampleSet);
Iterator<Example> exRead = exampleSet.iterator();
while (exRead.hasNext()) {
exRead.next().setValue(weightAttr, 1);
totalWeight++;
}
} else { // Back up old weights:
this.oldWeights = new double[exampleSet.size()];
Iterator<Example> reader = exampleSet.iterator();
for (int i = 0; (reader.hasNext() && i < oldWeights.length); i++) {
this.oldWeights[i] = reader.next().getWeight();
totalWeight += this.oldWeights[i];
}
}
return totalWeight;
}
示例2: prepareWeights
import com.rapidminer.example.Tools; //导入方法依赖的package包/类
/**
* Creates a weight attribute if not yet done. It either backs up the old
* weights for restoring them later, or it fills the newly created attribute
* with the initial value of 1.
*
* @param exampleSet
* the example set to be prepared
* @return the total weight
*/
protected double prepareWeights(ExampleSet exampleSet) {
Attribute weightAttr = exampleSet.getAttributes().getWeight();
double totalWeight = 0;
if (weightAttr == null) {
this.oldWeights = null;
weightAttr = Tools.createWeightAttribute(exampleSet);
Iterator<Example> exRead = exampleSet.iterator();
while (exRead.hasNext()) {
exRead.next().setValue(weightAttr, 1);
totalWeight++;
}
} else { // Back up old weights:
this.oldWeights = new double[exampleSet.size()];
Iterator<Example> reader = exampleSet.iterator();
for (int i = 0; (reader.hasNext() && i < oldWeights.length); i++) {
this.oldWeights[i] = reader.next().getWeight();
totalWeight += this.oldWeights[i];
}
}
return totalWeight;
}
示例3: apply
import com.rapidminer.example.Tools; //导入方法依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
// retrieving and applying model
PredictionModel model = modelInput.getData(PredictionModel.class);
exampleSet = model.apply(exampleSet);
Attribute weightAttr = exampleSet.getAttributes().getWeight();
if (weightAttr == null) {
weightAttr = Tools.createWeightAttribute(exampleSet);
}
WeightedPerformanceMeasures wp = new WeightedPerformanceMeasures(exampleSet);
WeightedPerformanceMeasures.reweightExamples(exampleSet, wp.getContingencyMatrix(), true);
// recalculate weight attribute statistics
exampleSet.recalculateAttributeStatistics(exampleSet.getAttributes().getWeight());
double maxWeight = exampleSet.getStatistics(exampleSet.getAttributes().getWeight(), Statistics.MAXIMUM);
// fill new table
RandomGenerator randomGenerator = RandomGenerator.getRandomGenerator(this);
int[] remappingIndices = new int[exampleSet.size()];
int i = 0;
for (Example example : exampleSet) {
if (randomGenerator.nextDouble() > example.getValue(weightAttr) / maxWeight) {
example.setValue(weightAttr, 1.0d);
remappingIndices[i] = 1;
}
i++;
}
checkForStop();
SplittedExampleSet splittedExampleSet = new SplittedExampleSet(exampleSet, new Partition(remappingIndices, 2));
splittedExampleSet.selectSingleSubset(1);
return splittedExampleSet;
}
示例4: apply
import com.rapidminer.example.Tools; //导入方法依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
// retrieving and applying model
PredictionModel model = modelInput.getData(PredictionModel.class);
exampleSet = model.apply(exampleSet);
Attribute weightAttr = Tools.createWeightAttribute(exampleSet);
WeightedPerformanceMeasures wp = new WeightedPerformanceMeasures(exampleSet);
WeightedPerformanceMeasures.reweightExamples(exampleSet, wp.getContingencyMatrix(), true);
// recalculate weight attribute statistics
exampleSet.recalculateAttributeStatistics(exampleSet.getAttributes().getWeight());
double maxWeight = exampleSet.getStatistics(exampleSet.getAttributes().getWeight(), Statistics.MAXIMUM);
// fill new table
RandomGenerator randomGenerator = RandomGenerator.getRandomGenerator(this);
int[] remappingIndices = new int[exampleSet.size()];
int i = 0;
for (Example example : exampleSet) {
if (randomGenerator.nextDouble() > example.getValue(weightAttr) / maxWeight) {
example.setValue(weightAttr, 1.0d);
remappingIndices[i] = 1;
}
i++;
}
checkForStop();
SplittedExampleSet splittedExampleSet = new SplittedExampleSet(exampleSet, new Partition(remappingIndices, 2));
splittedExampleSet.selectSingleSubset(1);
return splittedExampleSet;
}
示例5: apply
import com.rapidminer.example.Tools; //导入方法依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
// retrieving and applying model
PredictionModel model = modelInput.getData(PredictionModel.class);
exampleSet = model.apply(exampleSet);
Attribute weightAttr = exampleSet.getAttributes().getWeight();
if (weightAttr == null) {
weightAttr = Tools.createWeightAttribute(exampleSet);
}
WeightedPerformanceMeasures wp = new WeightedPerformanceMeasures(exampleSet);
WeightedPerformanceMeasures.reweightExamples(exampleSet, wp.getContingencyMatrix(), true);
// recalculate weight attribute statistics
exampleSet.recalculateAttributeStatistics(exampleSet.getAttributes().getWeight());
double maxWeight = exampleSet.getStatistics(exampleSet.getAttributes().getWeight(), Statistics.MAXIMUM);
// fill new table
RandomGenerator randomGenerator = RandomGenerator.getRandomGenerator(this);
int[] remappingIndices = new int[exampleSet.size()];
int i = 0;
for (Example example: exampleSet) {
if (randomGenerator.nextDouble() > example.getValue(weightAttr) / maxWeight) {
example.setValue(weightAttr, 1.0d);
remappingIndices[i] = 1;
}
i++;
}
checkForStop();
SplittedExampleSet splittedExampleSet = new SplittedExampleSet(exampleSet, new Partition(remappingIndices, 2));
splittedExampleSet.selectSingleSubset(1);
return splittedExampleSet;
}